SERIES»Working with Ubuntu«

This blog series collects useful insights for working with Ubuntu. In this article, I describe how to avoid building problems when building Tensorflow on an NFS-mounted $HOME directory and how to install CUDA 8.0 without a manual driver installation.

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In this series, I collect problems I come across when using Ubuntu for research and development. In this article: installing Bazel on Ubuntu and masking graphics cards from being considered by Tensorflow.

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Sphinx is a Python documentation tool that allows to automatically create clear documentation by parsing Python docstrings. The documentation can further be complemented using reStructuredText — a markup language similar to Markdown. This article gives a brief overview of setting up Sphinx on Ubuntu.

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Recently, I started working with Tensorflow — a deep learning library developed by Google. Unfortunately, Tensorflow did not work with the installed Version of CUDA. Therefore, I decided to upgrade to CUDA 8.0 and also install CuDNN. This article describes the installation process.

SERIES»Working with Ubuntu«

In this series, I collect some useful insights when working with Ubuntu. This time: Compressing and Splitting in Nautilus using rar or 7zip, tackling “Cannot find ang0 in all drives” and creating Cisco VPN Connections.